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The next evolution of AI has arrived, and its agentic. AI agents are powered by the same AI systems as chatbots, but can take independent action, collaborate to achieve bigger objectives, and take over entire business workflows. The technology is relatively new, but all the major players are already on board. In October, Microsoft announced that 100,000 organizations including Standard Bank, Thomson Reuters, Virgin Money, and Zurich Insurance are using Copilot Studio, double the number just mont
I still remember last year’s NVIDIA GTC, Jensen Huang with its visionary approach along with a touch of humour introduced the developers with promises to redefine technology. From Blackwell architecture, Generative AI with NIM, GB200 AI Chip to Project Groot and other things, we got a glimpse into the future of technology. Now the future […] The post 10 NVIDIA GTC 2025 Announements that You Must Know appeared first on Analytics Vidhya.
Unlocking Data Team Success: Are You Process-Centric or Data-Centric? Over the years of working with data analytics teams in large and small companies, we have been fortunate enough to observe hundreds of companies. We want to share our observations about data teams, how they work and think, and their challenges. We’ve identified two distinct types of data teams: process-centric and data-centric.
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
At a press conference held in Seoul on March 20, SAP CEO Christian Klein personally introduced the Korean market to SAPs AI-specific services, describing how SAPs AI vision can help Korean companies realize theirs. Samsung, LG, and other top 10 conglomerates in Korea are SAP customers, and many excellent customers in Korea are using SAP to enhance their global competitiveness, said Klein.
yFiles is a powerful SDK designed to simplify the visualization of complex networks and data relationships. When combined with LlamaIndex, it becomes a powerful tool for visualizing and interacting with knowledge graphs in real time. This guide walks you through the integration process, highlights essential steps, and demonstrates key features for an impactful, useful and […] The post How to Integrate yFiles with LlamaIndex for Knowledge Graph Visualization?
yFiles is a powerful SDK designed to simplify the visualization of complex networks and data relationships. When combined with LlamaIndex, it becomes a powerful tool for visualizing and interacting with knowledge graphs in real time. This guide walks you through the integration process, highlights essential steps, and demonstrates key features for an impactful, useful and […] The post How to Integrate yFiles with LlamaIndex for Knowledge Graph Visualization?
Its easy to make the case for building a data mesh within your business. By enabling a decentralized approach to data management, data meshes can improve agility, reduce bottlenecks, and help teams make decisions based on the most recent, accurate information.
An con la resaca de Fitur 2025, que cerr sus puertas hace poco ms de un mes con cerca de 255.000 asistentes, la compaa hotelera de origen balear Palladium Hotel Group afronta un ao marcado por una ambiciosa estrategia de expansin y crecimiento que contempla la apertura de nuevos hoteles en zonas como el Caribe, el Mediterrneo, Oriente Medio o el sudeste asitico.
Nvidias annual GPU Technology Conference (GTC) has long been a highlight for the AI community. At this years event, Nvidia CEO Jensen Huang unveiled a roadmap of new products and innovations aimed at scaling up artificial intelligence. This included nextgeneration AI chips – Blackwell Ultra, Vera Rubin, etc., accelerated inferencing software, and even future breakthroughs […] The post Nvidias GTC 2025 Announcements That Shook the Stock Market appeared first on Analytics Vidhya.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Imagine standing at the entrance of a vast, ever-expanding labyrinth of data. Each day, the walls shift and new pathways emerge. How do you not only find your way through but also extract the treasures hidden within? This is the challenge facing organizations, especially data consumers, today as data volumes explode and complexity multiplies. The compass you need might just be Data Intelligenceand it’s more crucial now than ever before.
Data is the lifeblood of Data Science and the backbone of the AI revolution. Without it, there are no models, and sophisticated algorithms are worthless because there is no data to bring their usefulness to life.
When the board says, AI! CIOs have the daunting task of educating it on the various flavors of this capability, and steering them to the most beneficial investments and strategies. Mark Brooks, who became CIO of Reinsurance Group of America in 2023, did just that, and restructured the technology organization to support the platform, redefined the programs success metrics, and proved to the board that IT is a good steward of the dollar.
OpenAI has recently unveiled a suite of next-generation audio models, enhancing the capabilities of voice-enabled applications. These advancements include new speech-to-text (STT) and text-to-speech (TTS) models, offering developers more tools to create sophisticated voice agents. These advanced voice models, released on API, enable developers worldwide to build flexible and reliable voice agents much more easily. […] The post OpenAIs Audio Models: How to Access, Features, Applications, an
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Choose or Combine GenAI and/or Agentic AI for Apps The only way to avoid news of Artificial Intelligence (AI) is to move to the top of a mountain and leave all your devices behind. Talk of AI is everywhere. So, it is no surprise that most businesses are considering how to incorporate artificial intelligence (AI) into their consumer apps, business applications, websites and mobile applications.
The world is becoming digitally native and tech companies are leading the charge. There are exceptions depending on the industry, says 6sense CIO Bryan Wise, but situations will arise where if a company gets large enough, the cost benefit becomes a key concern, and going back on prem to an extent might be the right option. Were a long ways from that but because of the complexity of data residency of some larger fortune 500 companies, and theyre definitely thinking about true costs in the cloud a
The scale of LLM model sizes goes beyond mere technicality; it is an intrinsic property that determines what these AIs can do, how they will behave, and, in the end, how they will be useful to us. Much like how the size of a company or a team influences its capabilities, LLM model sizes create […] The post The Human Side of LLM Model Sizes appeared first on Analytics Vidhya.
Speaker: Claire Grosjean, Global Finance & Operations Executive
Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.
We often say AIs mistakes are by design, but theyre really not. AI wasnt built to fail in these specific ways its errors emerge as a byproduct of how it learns. But what if we actively use them as a tool instead of just tolerating AIs weird mistakes or trying to eliminate them?
SAP has added AI capabilities powered by its AI assistant, Joule, to SAP Build Process Automation and SAP Build apps, extending the existing AI capabilities in SAP Build Code and ABAP Cloud. The announcement at this weeks SAPInsider event in Las Vegas, Nevada, is designed to empower developers to build more efficiently, deliver precise, contextualized outcomes with purpose-built LMMs, and integrate new AI tooling for seamless development,the company said in a release.
Large language models answer questions using the knowledge they learned during training. This fixed knowledge base limits them. They can’t give you current or highly specific information. Retrieval-Augmented Generation (RAG) helps by letting LLMs pull in external data, but even RAG needs help with complex questions. Adaptive RAG offers a solution.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan, be able to forecast results, and create reasonable objectives, goals, and competitive strategies.
By combining AI agents, you can build an application that not only answers questions and searches the internet but also performs computations and visualizes data effectively.
Sustainability is no longer a peripheral concern but a strategic business imperative. As regulatory scrutiny, investor expectations, and consumer demand for environmental, social and governance (ESG) accountability intensify, organizations must leverage data to drive their sustainability initiatives. Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized.
Following the groundbreaking impact of DeepSeek R1, DeepSeek AI continues to push the boundaries of innovation with its latest offering: Smallpond. This lightweight data processing framework combines the power of DuckDB for SQL analytics and 3FS for high-performance distributed storage, designed to efficiently handle petabyte-scale datasets. Smallpond promises to simplify data processing for AI and […] The post A Comprehensive Guide to Smallpond appeared first on Analytics Vidhya.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Have you ever invented something, seemingly out of whole cloth, only to do a simple Google search to find out its a well-defined discipline youd never heard of? Thats how this article started.
Curious how AI is actually changing the game for real businesses? This article breaks down how companies are using AI to make smarter decisions and run more efficiently.
Many companies today are struggling to manage their data, overwhelmed by data volumes, velocity, and variety. On top of that, they are storing data in IT environments that are increasingly complex, including in the cloud and on mainframes, sometimes simultaneously, all while needing to ensure proper security and compliance. All of this complexity creates a challenge.
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